Li Guo
Artificial Intelligence · with Wang · 2011–2017
A researcher in the Science corpus: 6 papers; trusts 112 researchers and is trusted by 15 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 112 citations into it; #11,008 of 35,345 by trust here, #8,810 by citations
- Representation & Self-Supervised Learning — 50 citations into it; #1,745 of 3,145 by trust here, #1,561 by citations
- Graph Learning — 40 citations into it
- Natural Language Processing — 37 citations into it
- Computer Vision and Pattern Recognition — 24 citations into it
- Information Systems — 22 citations into it
- Knowledge Graphs & Representation — 17 citations into it; #102 of 226 by trust here, #97 by citations
- Statistical and Nonlinear Physics — 14 citations into it
Whom Li Guo trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Antoine Bordes
- Geoffrey E. Hinton
- Yoshua Bengio
- Jason Aaron Edward Weston
- Maximilian Nickel
- Tomas Mikolov
- Richard Socher
- Ilya Sutskever
- Alex Krizhevsky
- Diederik P. Kingma
Who trusts Li Guo overall
Papers from Li Guo's perspective
Ordered by how strongly the researchers Li Guo trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Learning Multiple Layers of Features from Tiny Images
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
Their papers
- Knowledge Graph Embedding: A Survey of Approaches and Applications (2017) — 2,573 citations
- Context-Dependent Knowledge Graph Embedding (2015) — 53 citations
- SSE: Semantically Smooth Embedding for Knowledge Graphs (2017) — 48 citations
- Semantically Smooth Knowledge Graph Embedding (2015) — 152 citations
- Combining Heterogenous Social and Geographical Information for Event Recommendation (2014) — 82 citations
- Enabling Fast Lazy Learning for Data Streams (2011) — 47 citations